Helios Technologies (HLIO) Other Operating Expenses (2017 - 2019)
Helios Technologies' Other Operating Expenses came in at $56,000 for Q2 2019, down 77.7% from $251,000 a year earlier and down 92.2% from the prior quarter.
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Analysis
Helios Technologies (HLIO) Other Operating Expenses (2017 - 2019) Analysis & Trends
For FY2018, Helios Technologies' Other Operating Expenses was $1.48 million, down 84.4% from FY2017.
- Going back by year, Other Operating Expenses was $9.48 million in FY2017.
- The Q2 2019 figure represents the lowest quarterly Other Operating Expenses in data going back to Q2 2017.
- Year-over-year, Other Operating Expenses increased in 1 of the last five quarters, with an average decline of 33.0%.
- Business Quant data shows HLIO's Other Operating Expenses at $719,000 (Q1 2019), $554,000 (Q4 2018) and $275,000 (Q3 2018) in the three quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Helios Technologies | 2.24 Bn | 1.98 Bn | 80.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2019 | 56,000.00 |
| Mar 30, 2019 | 719,000.00 |
| Dec 29, 2018 | 554,000.00 |
| Sep 29, 2018 | 275,000.00 |
| Jun 30, 2018 | 251,000.00 |
| Mar 31, 2018 | 402,000.00 |
| Dec 30, 2017 | 621,000.00 |
| Sep 30, 2017 | 664,000.00 |
| Jul 1, 2017 | 8.19 Mn |
API Access
Helios Technologies Other Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=HLIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "HLIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=HLIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();